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1 - Introduction to Machine Learning
10 - Feature Engineering
11 - Saving & Loading Models
12 - Practical ML Projects
13 - Deployment Basics
14 - Best Practices & ML Workflow
15 - Interview Preparation
2 - Python for Machine Learning
3 - ML Libraries in Python
4 - Data Handling & Preprocessing
16. Loading & Inspecting Data.mp4
MP4
35.8 MB
17. Handling Missing Values & Feature Engineering.mp4
MP4
25.8 MB
18. Train-Test Split & Scaling Normalization.mp4
MP4
19.2 MB
5 - Exploratory Data Analysis (EDA)
19. Understanding Your Data.mp4
MP4
9.4 MB
20. Summary Statistics.mp4
MP4
10.7 MB
21. Data Visualisation Basics.mp4
MP4
19.3 MB
22. Scatter Plots & Bar Charts.mp4
MP4
13.4 MB
23. Correlation Analysis.mp4
MP4
19.1 MB
24. Distribution Plots.mp4
MP4
8.6 MB
6 - Supervised Learning - Regression
25. Understanding Regression Simple Linear Regression & Multiple Linear Regression.mp4
MP4
31.4 MB
26. Model Training & Evaluation.mp4
MP4
27.4 MB
27. MAE(Mean Absolute Error), MSE(Mean Squared Error), RMSE(Root Mean Squared Error).mp4
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10.9 MB
7 - Supervised Learning - Classification
28. Logistic Regression.mp4
MP4
25.6 MB
29. K-Nearest Neighbors.mp4
MP4
36.6 MB
30. Decision Trees.mp4
MP4
15.7 MB
31. Random Forest.mp4
MP4
20 MB
32. Model Evaluation Metrics Accuracy, Precision, Recall, F1 Score.mp4
MP4
46.5 MB
8 - Model Evaluation & Validation
33. Confusion Matrix.mp4
MP4
55.3 MB
34. Cross-Validation.mp4
MP4
29.8 MB
35. Overfitting, Underfitting, Bias-Variance Tradeoff.mp4
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23.6 MB
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1 - Introduction to Data Science and Python
2 - Python Fundamentals for Data Science
3 - Working with Data Using Pandas
12. Data Cleaning & Preprocessing.mp4
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2 -Data collection and preprocessing.mp4
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1 - Introduction
2 - Data Handling with Pandas in Python
3 - Data Visualization in Python
4 - Data summary descriptive and inferential statistic
5 - Data Management for Machine Learning in Python
24. Data Preprocessing in Python.mp4
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UDEMY - INTRODUCTION AU MACHINE LEARNING 2017.FR.WEB-DL.720P.H264
2. ------------------------ Partie 1 - Data Preprocessing ------------------------
2. Importer les librairies.mp4
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62.72 MB
3. Importer le dataset.mp4
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170.68 MB
4. Gérer les données manquantes.mp4
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212.03 MB
5. Gérer les variables catégoriques.mp4
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296.94 MB
6. Diviser le dataset entre le Training set et le Test set.mp4
MP4
189 MB
7. Appliquer Feature Scaling.mp4
MP4
230.49 MB
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2. Data Preprocessing.mp4
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1 - Introduction and Course Setup
10 - Testing and Vulnerabilities in AI - Domain 2E+2F
11 - AI Incident Response - Domain 2G
12 - AI Audit Planning, Execution and Reporting - Domain 3A-E
13 - Capstone, Exam Prep and Conclusion
images
2 - AI Fundamentals for Auditors - Domain 1A
3 - AI Governance and Program Management - Domain 1B
4 - AI Risk Management - Domain 1C
5 - Privacy and Data Governance for AI - Domain 1D
6 - AI Ethics, Regulations and Standards - Domain 1E
7 - Data Management for AI - Domain 2A
29. Data Preprocessing, Feature Engineering, and Transformation Controls - Validatio.mp4
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Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.mp4
MP4
2.99 MB
2. Get the dataset.mp4
MP4
21.15 MB
3. Importing the Libraries.mp4
MP4
11.08 MB
4. Importing the Dataset.mp4
MP4
23.31 MB
6. Missing Data.mp4
MP4
32.16 MB
7. Categorical Data.mp4
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40.79 MB
9. Splitting the Dataset into the Training set and Test set.mp4
MP4
39.03 MB
10. Feature Scaling.mp4
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34.62 MB
11. And here is our Data Preprocessing Template!.mp4
MP4
19.67 MB
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2 - Data Preprocessing TechniquesSteps.mp4
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1 - Course Introduction
2 - Python Basics
3 - Working with Data Structures
4 - Control Structures in Python
5 - Data Analysis with Python
19. Data Cleaning and Preprocessing Techniques.mp4
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56.8 MB
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Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
24. Data Preprocessing Template
2. Data Preprocessing - Step 1.mp4
MP4
54.34 MB
3. Data Preprocessing - Step 2.mp4
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2. Data preprocessing for insightful decomposition.mp4
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Data Science Real World Projects in Python
[TutsNode.com] - Data Science Real World Projects in Python
2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning
3. Understanding Data & data-preprocessing.mp4
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2 -2.1 Exploring and preprocessing organization-wide data.mp4
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1 - Introduction
2 - Setting Up Your Development Environment
3 - Google Colab Setup
4 - Dataset Exploration
5 - Text Preprocessing & Data Preparation
24. Building the Classification System Architecture.mp4
MP4
73.9 MB
25. Text Cleaning and Preprocessing.mp4
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66.7 MB
26. Building an Automated Data Pipeline.mp4
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87.9 MB
27. Feature Engineering - Vocabulary Analysis.mp4
MP4
67 MB
6 - Model Training & Evaluation
28. Training Our Machine Learning Model.mp4
MP4
119.5 MB
29. Evaluating Model Performance.mp4
MP4
133 MB
30. Analyzing Ambiguous Cases.mp4
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96.5 MB
31. Testing on Real-World Examples.mp4
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127.8 MB
7 - Generating Reports & Visualizations
32. Generating Analysis Reports.mp4
MP4
64 MB
33. Assembling the Complete System.mp4
MP4
111.8 MB
34. Creating Professional Visualizations.mp4
MP4
97.6 MB
8 - Building Interactive Dashboards With Streamlit
35. Building an Interactive Dashboard.mp4
MP4
146.8 MB
36. Running Your Streamlit Application.mp4
MP4
85.9 MB
9 - Deploying To The Cloud
37. Creating Github Account.mp4
MP4
63.1 MB
38. Deploying to Streamlit Cloud.mp4
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50.7 MB
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4 -Module 7 Data Preprocessing (2).mp4
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2. Lecture 2 Data Handling and Preprocessing.mp4
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2 -Data Cleaning and Preprocessing – Handling Missing Values.mp4
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2 -Data Preprocessing for Vibe Coding.mp4
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7. Data Formats in Medical Imaging
8. Preprocessing-in-Python-Part-2.mp4
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1 - Introduction
2 - Python Refresher
3 - First steps with healthcare datasets
4 - Data Cleaning and Preprocessing
13. Data Cleaning and Preprocessing 1.mp4
MP4
59.1 MB
14. Data Cleaning and Preprocessing 2.mp4
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46.5 MB
5 - Exploratory Data Analysis for Healthcare
15. Exploratory Data Analysis 1.mp4
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16. Exploratory Data Analysis 2.mp4
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17. Exercise.mp4
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6 - Feature engineering and Building basic predictive models
18. Building simple predictive models.mp4
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7 - Capstone project
19. Capstone.mp4
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35.5 MB
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2 -Understanding Data Preprocessing.mp4
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2 -Data Preprocessing in Action.mp4
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Data Science Practical Automated Machine Learning(Auto ML)
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)
6. TPOT Models Part 2
3. Data preprocessing and visualization.mp4
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18. Data preparation. Preprocessing discrete variables creating dummies (Part 2).mp4
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25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).mp4
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1 - Introduction to Machine Learning
2 - Data and Feature Engineering
7 - Data Preprocessing Concepts.mp4
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009 Step 2 - Data Preprocessing.mp4
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2. 2. Data Cleaning and Preprocessing of Google App Store Data..mp4
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2. 2. Data Exploration and Preprocessing of the Titanic Dataset..mp4
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2. 2. Data Preprocessing and Cleaning..mp4
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2. 2. Big Data Data Exploration and Preprocessing..mp4
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[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.mp4
MP4
2.98 MB
10. Feature Scaling.mp4
MP4
34.62 MB
11. And here is our Data Preprocessing Template!.mp4
MP4
19.67 MB
2. Get the dataset.mp4
MP4
21.15 MB
3. Importing the Libraries.mp4
MP4
11.08 MB
4. Importing the Dataset.mp4
MP4
23.31 MB
6. Missing Data.mp4
MP4
32.16 MB
7. Categorical Data.mp4
MP4
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9. Splitting the Dataset into the Training set and Test set.mp4
MP4
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2 -Preprocessing and interpreting sensor data.mp4
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2 -Data Preprocessing Techniques.mp4
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[DesireCourse.Net] Udemy - The Business Intelligence Analyst Course 2020
47. Integration - Data Preprocessing Step by Step
2. How to Import the Data Set in Python.mp4
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2. Data Preprocessing.mp4
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04 - Building an ANN
004 Step 2 - Data Preprocessing for Neural Networks Essential Steps and Techniques.mp4
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25 - Data Preprocessing in Python
002 Step 2 - How to Handle Missing Data in Python Data Preprocessing Techniques.mp4
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005 Step 2 - Pandas DataFrame Indexing Building Feature Matrix X with iloc Method.mp4
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009 Step 2 - Preprocessing Datasets Fit and Transform to Handle Missing Values.mp4
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011 Step 2 - Using fit_transform Method for Efficient Data Preprocessing in Python.mp4
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014 Step 2 - Split Data into Train --& Test Sets with Scikit-learn--'s train_test_split.mp4
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017 Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.mp4
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10 Python Courses For Beginners 2020 [UdemyLibrary.com]
Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]
5. Data Preparation and Preprocessing
2. Handling Video and Audio Data.mp4
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2. Data cleaning and preprocessing.mp4
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8. Hyperspectral Analysis
2. Preprocessing AVRIS Data.mp4
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[FreeAllCourse.Com] Udemy - The Business Intelligence Analyst Course 2020
47. Integration - Data Preprocessing Step by Step
2. How to Import the Data Set in Python.mp4
MP4
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~Get Your Files Here !
1 - Introduction
Logistic Regression in Python
Data Files
Others
Presentation
10 - Knearest Neighbors Classifier
11 - Understanding The Results
12 - Appendix 1 Linear Regression In Python
ML Practical task 3
ML Task 1
ML Task 2
13 - Congratulations About Your Certificate
2 - Introduction To Machine Learning
3 - Basics Of Statistics
4 - Setting Up Python And Jupyter Notebook
5 - Important Python Libraries
6 - Data Preprocessing
26 - Gathering Business Knowledge.mp4
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27 - Data Exploration.mp4
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28 - The Dataset And The Data Dictionary.mp4
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29 - Data Import In Python.mp4
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31 - Univariate Analysis And Edd.mp4
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32 - Edd In Python.mp4
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34 - Outlier Treatment.mp4
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35 - Outlier Treatment In Python.mp4
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37 - Missing Value Imputation.mp4
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38 - Missing Value Imputation In Python.mp4
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40 - Seasonality In Data.mp4
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41 - Variable Transformation.mp4
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42 - Variable Transformation And Deletion In Python.mp4
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44 - Dummy Variable Creation Handling Qualitative Data.mp4
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45 - Dummy Variable Creation In Python.mp4
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7 - Classification Models
47 - Three Classifiers And The Problem Statement.mp4
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48 - Why Cant We Use Linear Regression.mp4
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49 - Logistic Regression.mp4
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50 - Training A Simple Logistic Model In Python.mp4
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52 - Result Of Simple Logistic Regression.mp4
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8 -Data Preprocessing for Model Training in Roboflow part 2.mp4
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[FreeAllCourse.Com] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp
49. Deep Learning - Preprocessing
2. Types of Basic Preprocessing.mp4
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58. Case Study - Preprocessing the 'Absenteeism_data'
2. Importing the Absenteeism Data in Python.mp4
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2. Exploring Java Machine Learning Environments
3. Implementing a Machine Learning Workflow with Weka
3. Demo - Data Preprocessing with Programmatic Weka.mp4
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4. Implementing a Machine Learning Workflow with DL4J
4. Demo - Data Preprocessing with DL4J.mp4
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5. Implementing a Machine Learning Workflow with Spark MLlib
3. Demo - Data Preprocessing with Spark MLlib.mp4
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[FreeAllCourse.Com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
29. Data Preprocessing Template
2. Data Preprocessing - Step 2.mp4
MP4
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2. Importing and preprocessing data.mp4
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3. Neural network regression with TensorFlow
27. Preprocessing data with feature scaling part 2 (normalising our data).mp4
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[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.mp4
MP4
2.98 MB
10. Feature Scaling.mp4
MP4
34.63 MB
11. And here is our Data Preprocessing Template!.mp4
MP4
19.67 MB
2. Get the dataset.mp4
MP4
21.16 MB
3. Importing the Libraries.mp4
MP4
11.07 MB
4. Importing the Dataset.mp4
MP4
23.32 MB
6. Missing Data.mp4
MP4
32.17 MB
7. Categorical Data.mp4
MP4
40.79 MB
9. Splitting the Dataset into the Training set and Test set.mp4
MP4
39.04 MB
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[FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
10.Preprocessing
1004.Dealing with categorical data.mp4
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12.Business case
1204.Preprocessing the data.mp4
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47. Integration - Data Preprocessing Step by Step
2. How to Import the Data Set in Python.mp4
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Section 2 -------- Partie 1 - Data Preprocessing --------,4. Importer les librairies.mp4
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11.82 MB
Section 2 -------- Partie 1 - Data Preprocessing --------,5. Importer le dataset.mp4
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Section 2 -------- Partie 1 - Data Preprocessing --------,6. Gérer les données manquantes.mp4
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28.31 MB
Section 2 -------- Partie 1 - Data Preprocessing --------,7. Gérer les variables catégoriques.mp4
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Section 2 -------- Partie 1 - Data Preprocessing --------,8. Diviser le dataset entre le Training set et le Test set.mp4
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Section 2 -------- Partie 1 - Data Preprocessing --------,9. Appliquer Feature Scaling.mp4
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2 -End to End Exploratory Data Preprocessing Pipeline- Part 1.mp4
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2. 1102 Performing Data Preprocessing and Basic Insight Extraction through EDA.mp4
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53.8 MB
2. 802 Preprocessing data understood as a case.mp4
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45.1 MB
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